Reinforcement-aware Knowledge Distillation for LLM Reasoning | ScienceToStartup | ScienceToStartup

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References (29)

[1]

Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model

2025Junshu Pan, Wei Shen et al.

[2]

Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

2025Yang Yue, Zhiqin Chen et al.

[3]

GRPO-LEAD: A Difficulty-Aware Reinforcement Learning Approach for Concise Mathematical Reasoning in Language Models

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"Revolutionize LLM reasoning with efficient, RL-aware knowledge distillation for lower inference costs."

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Reinforcement-aware Knowledge Distillation for LLM Reasoning

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References (29)

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"Revolutionize LLM reasoning with efficient, RL-aware knowledge distillation for lower inference costs."

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Reinforcement-aware Knowledge Distillation for LLM Reasoning

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References (29)

Founder's Pitch

"Revolutionize LLM reasoning with efficient, RL-aware knowledge distillation for lower inference costs."

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